%0 Journal Article
%T Text Hierarchical Clustering Based on Several Domain Ontologies<br>基于多个领域本体的文本层次被定义聚类方法
%A ZHANG Ai-qi
%A ZUO Wan-li
%A WANG Ying
%A LIANG Hao
%A <br>张爱琦
%A 左万利
%A 王英
%A 梁浩
%J 计算机科学
%D 2010
%I 
%X Traditional clustering methods are usually based on the similarity of
%K appearing in documents
%K Since these methods may lead to the loss of lots of semantic information
%K their clustering results are not accurate enough and often need large amount of computation
%K A new method for hierarchically clustering documents based on several domain ontologies was proposed
%K This method first transformed keyword-based vectors into corresponding concept-based vectors making use of several domain ontologies
%K Then
%K a formula was given for calculating similarities between different docume
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2BE507BE1ACEC26464A4320BC0DD2BB1&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=38B194292C032A66&sid=FCD27DC5E1F2EEE7&eid=02DC3A182A5530DF&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=15